Summary

Dataset 1

Experiments excluded

Mask

Get figure file: figures/preliminary_dset-1_figure-mask.png

Peak coordinates

Get figure file: figures/preliminary_dset-1_figure-static.png
Get figure file: figures/preliminary_dset-1_figure-legend.png

Explorer

Meta-Analysis

Estimator

Parameters use to fit the meta-analytic estimator.

Corrector

Parameters use to fit the corrector.

Corrected meta-analytic map: z_corr-FDR_method-indep

Explorer

The following figure provides an interactive window to explore the meta-analytic map in detail.

Slice viewer

This panel shows the the corrrected meta-analytic map.

Get figure file: figures/corrector_figure-static.png

Diagnostics

Target image: z_corr-FDR_method-indep

Significant clusters

    X Y Z Peak Stat Cluster Size (mm3)
Tail Cluster ID          
Positive 1 50.00 28.00 16.00 4.60 9960
1a 54.00 28.00 6.00 4.28
1b 50.00 34.00 10.00 4.02
1c 52.00 20.00 6.00 3.76
2 8.00 16.00 46.00 4.60 7664
2a 0.00 14.00 46.00 4.28
2b 6.00 18.00 32.00 3.13
2c 6.00 6.00 54.00 3.13
3 46.00 -64.00 -4.00 4.49 6832
3a 54.00 -62.00 2.00 3.76
3b 50.00 -60.00 -6.00 3.76
3c 46.00 -68.00 2.00 3.43
4 -58.00 -22.00 6.00 4.02 5128
4a -52.00 -12.00 0.00 2.80
4b -52.00 -22.00 6.00 2.80
4c -54.00 -4.00 -6.00 2.80
5 -42.00 22.00 -6.00 3.76 2800
5a -36.00 16.00 -6.00 3.13
5b -36.00 24.00 -8.00 3.13
5c -40.00 14.00 -6.00 2.80
6 -6.00 46.00 -8.00 3.43 1480
6a 4.00 42.00 -10.00 2.48
6b -4.00 46.00 -4.00 2.16
6c 2.00 44.00 -16.00 1.83
7 -6.00 -40.00 42.00 3.43 1536
7a 0.00 -34.00 46.00 2.16
7b -4.00 -40.00 34.00 1.83
7c 2.00 -34.00 40.00 1.83
8 -20.00 -6.00 -16.00 3.13 1760
9 -32.00 -6.00 56.00 3.13 792
9a -24.00 -4.00 56.00 2.16
9b -32.00 -10.00 62.00 1.83
10 2.00 56.00 24.00 3.13 1776
10a 0.00 50.00 30.00 2.80
10b -6.00 50.00 22.00 2.48
10c -4.00 48.00 30.00 2.48
11 52.00 -36.00 4.00 3.13 4024
11a 62.00 -28.00 10.00 3.13
11b 54.00 -24.00 2.00 3.13
11c 62.00 -24.00 4.00 3.13
12 -40.00 -78.00 4.00 3.13 1760
12a -48.00 -70.00 -2.00 2.80
12b -40.00 -74.00 -2.00 2.80
12c -46.00 -68.00 -6.00 2.48
13 -58.00 -30.00 26.00 2.80 256
14 -50.00 -52.00 28.00 2.80 1960
14a -52.00 -60.00 26.00 2.80
14b -46.00 -56.00 20.00 2.48
14c -48.00 -58.00 28.00 2.48
15 58.00 0.00 -18.00 2.80 848
15a 48.00 2.00 -16.00 2.16
15b 54.00 -4.00 -12.00 2.16
15c 60.00 2.00 -12.00 2.16
16 26.00 -8.00 -18.00 2.80 1848
16a 32.00 -10.00 -10.00 2.48
16b 30.00 -2.00 -18.00 2.48
16c 30.00 -22.00 -20.00 2.16
17 34.00 -50.00 -22.00 2.80 976
17a 40.00 -52.00 -16.00 2.16
17b 28.00 -54.00 -24.00 2.16
17c 22.00 -48.00 -26.00 2.16
18 42.00 -76.00 22.00 2.48 712
18a 38.00 -80.00 16.00 2.16
18b 38.00 -74.00 22.00 2.16
18c 34.00 -76.00 14.00 1.83
19 -32.00 -48.00 -22.00 2.48 632
19a -26.00 -50.00 -14.00 2.48
19b -22.00 -58.00 -12.00 2.16
19c -34.00 -56.00 -12.00 1.83
20 18.00 -88.00 -4.00 2.48 568
20a 26.00 -84.00 -10.00 2.48
21 -54.00 -30.00 36.00 2.48 144
22 -22.00 -64.00 50.00 2.48 1064
22a -20.00 -64.00 58.00 2.16
22b -22.00 -72.00 48.00 1.83
22c -20.00 -72.00 58.00 1.83
23 20.00 6.00 0.00 2.48 120
24 18.00 -84.00 36.00 2.16 144
25 20.00 16.00 8.00 2.16 120
26 -8.00 16.00 6.00 2.16 120
27 -10.00 -52.00 36.00 2.16 216
28 28.00 -90.00 -2.00 2.16 136
29 32.00 2.00 54.00 2.16 184
30 -48.00 -34.00 14.00 2.16 96
31 38.00 -68.00 -18.00 2.16 192
32 -40.00 -40.00 52.00 2.16 360
32a -38.00 -50.00 48.00 1.83
32b -38.00 -42.00 42.00 1.83

Label map: positive tail

Get figure file: figures/diagnostics_tail-positive_figure.png

FocusCounter

The FocusCounter analysis characterizes the relative contribution of each experiment in a meta-analysis to the resulting clusters by counting the number of peaks from each experiment that fall within each significant cluster.

The heatmap presents the relative contributions of each experiment to each cluster in the thresholded map. There is one row for each experiment, and one column for each cluster, with column names being PostiveTail/NegativeTail indicating the sign (+/-) of the cluster's statistical values. The rows and columns were re-ordered to form clusters in the heatmap.

Heatmap: positive tail

Methods

We kindly ask to report results preprocessed with this tool using the following boilerplate.

A multilevel kernel density (MKDA) meta-analysis \citep{wager2007meta} was performed was performed
with NiMARE 0.6.1 (RRID:SCR_017398; \citealt{Salo2023}), using a(n) MKDA kernel. An MKDA kernel
\citep{wager2007meta} was used to generate study-wise modeled activation maps from coordinates. In
this kernel method, each coordinate is convolved with a sphere with a radius of 10.0 and a value of
1. For voxels with overlapping spheres, the maximum value was retained. Summary statistics (OF
values) were converted to p-values using an approximate null distribution. The input dataset
included 1470 foci from 206 experiments. False discovery rate correction was performed with the
Benjamini-Hochberg procedure \citep{benjamini1995controlling}.

Bibliography

@article{Salo2023,
  doi = {10.52294/001c.87681},
  url = {https://doi.org/10.52294/001c.87681},
  year = {2023},
  volume = {3},
  pages = {1 - 32},
  author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
  title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
  journal = {Aperture Neuro}
}
@article{benjamini1995controlling,
  title={Controlling the false discovery rate: a practical and powerful approach to multiple testing},
  author={Benjamini, Yoav and Hochberg, Yosef},
  journal={Journal of the Royal statistical society: series B (Methodological)},
  volume={57},
  number={1},
  pages={289--300},
  year={1995},
  publisher={Wiley Online Library},
  url={https://doi.org/10.1111/j.2517-6161.1995.tb02031.x},
  doi={10.1111/j.2517-6161.1995.tb02031.x}
}
@article{wager2007meta,
  title={Meta-analysis of functional neuroimaging data: current and future directions},
  author={Wager, Tor D and Lindquist, Martin and Kaplan, Lauren},
  journal={Social cognitive and affective neuroscience},
  volume={2},
  number={2},
  pages={150--158},
  year={2007},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/scan/nsm015},
  doi={10.1093/scan/nsm015}
}